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Simulation-based optimization of bulk carrier unloading systems

Modernising simulation-driven ship unloading optimisation for global use — faster results, scalable architecture, and a future-ready, user-centric platform.

Description

A simulation-based optimisation of bulk carrier unloading system configurations for bulk food commodities was developed around 15 years ago in collaboration with a partner. As part of this project, the existing solution is being fundamentally modernised and technologically reoriented.

The objective is to develop a modern, flexible, and future-proof application that meets current requirements in terms of performance, scalability, and usability. Key priorities include global availability, high speed of solution generation, and a strong user-centric design.

A central focus is the redesign of the system architecture, with a clear separation of data, models, and application logic. This enables efficient maintenance and updating of master data, as well as seamless synchronisation between different user groups. At the same time, the solution is intended to be compatible with current and future technologies and to support straightforward extensibility.

In addition, an improved data foundation is envisaged in order to enhance the accuracy and reliability of the simulations. Overall, the aim is to establish a robust platform that supports continuous development and adaptation to evolving requirements.

Key data

Deputy Projectlead

Co-Projectlead

Prof. Dr. Lukas Hollenstein, Stefan Anshelm (Bühler AG), Andreas Herzer (Bühler AG)

Project team

Dr. Tatiana Starostina, Erich Zbinden, Davide Stallone, Bogoljub Kostic (Bühler AG), Moritz Meier (Bühler AG), Felix Hutter (Bühler AG)

Project partners

Bühler AG

Project status

completed, 09/2023 - 06/2024

Institute/Centre

Institute of Computational Life Sciences (ICLS)

Funding partner

Third party